Wang, Ye, Lee, Kyungmi, and Lee, Ickjai (2016) Multivariate higher order information for emergency management based on tourism trajectory datasets. In: Lecture Notes in Artificial Intelligence (9799) pp. 725-736. From: IEA/AIE 2016: 29th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 2-4 August 2016, Morioka, Japan.

PDF (Published Version) - Published Version Restricted to Repository staff only

 

1

6

Abstract

Higher order information of trajectory dataset for "what-if" analysis is getting more popular for providing better informed decision making. However, existing research had been studied trajectory higher order information based on univariate dataset only. There is yet no research to study higher order information of multivariate dataset for trajectory analysis. This paper will introduce a unified data structure which supports multivariate datasets for trajectory analysis and approaches to analyse information based on multivariate higher order information for making decisions related to emergency management. Interactive visualisation tools are implemented to facilitate the analysis. Tourism trajectory dataset is used to demonstrate the proposed approach.

Actions (Repository Staff Only)

Item Control Page